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%global _empty_manifest_terminate_build 0
%define debug_package %{nil}
Name: onnxruntime
Version: 1.17.0
Release: 2
Summary: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
License: BSD-3
URL: https://github.com/pytorch/onnxruntime
Source0: https://atomgit.com/havefun/onnxruntime/raw/master/onnxruntime-1.17.0.tar.gz
BuildRequires: g++
Requires: python3-future
Requires: python3-numpy
%description
ONNX Runtime is a cross-platform inference and training machine-learning accelerator.
ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.
%package -n python3-onnxruntime
Summary: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Provides: python-onnxruntime
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-setuptools_scm
BuildRequires: python3-pbr
BuildRequires: python3-pip
BuildRequires: python3-wheel
BuildRequires: python3-hatchling
BuildRequires: python3-astunparse
BuildRequires: python3-numpy
BuildRequires: python3-pyyaml
BuildRequires: cmake
BuildRequires: python3-typing-extensions
BuildRequires: python3-requests
BuildRequires: python3-pytorch
AutoReqProv: no
%description -n python3-onnxruntime
ONNX Runtime is a cross-platform inference and training machine-learning accelerator.
ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.
%package help
Summary: Development documents and examples for torch
Provides: python3-onnxruntime-doc
%description help
ONNX Runtime is a cross-platform inference and training machine-learning accelerator.
ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.
%prep
%autosetup -p1 -n %{name}-%{version}
%build
cp ./requirements-dev.txt ./requirements.txt
%pyproject_build
%install
%pyproject_install
%files -n python3-onnxruntime
%doc *.md
%license LICENSE
%{python3_sitelib}/*
%changelog
* Tue April 15 2024 Hongyu Li<543306408@qq.com>
- Package init
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